Head of Data Platform Engineering, MD
CR1 - 700 District, United States
USD 170K-267K Executive-level Full Time
Tasks
- Build and mentor data engineering and SRE teams
- Build metadata catalog and observability framework
- Define data contracts and governance standards
- Define data platform vision and architecture
- Drive technology selection and adoption
- Establish CI CD and data quality monitoring
- Implement infrastructure automation with IaC
- Lead data lakehouse and streaming development
- Represent platform strategy to executives
Perks/Benefits
- Employee assistance program
- Family care support
- Flexible work/life support
- Insurance coverage
- Long-term disability insurance
- Paid time off
- Retirement savings plan
- Volunteer days
Skills/Tech-stack
AWS | Airflow | Automated testing | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Synapse | BigQuery | CI/CD | Cloud Architecture | CloudFormation | Container Orchestration | DBT | Data Contracts | Data Factory | Data Governance | Data Ingestion | Data Lake Storage | Data Lakehouse | Data Quality | Data Transformation | Data Warehousing | Data platform | Data quality monitoring | DataOps | Dataflow | Delta Lake | DevOps | Distributed Systems | EMR | Event Streaming | Flink | GCP | GDPR | Glue | HIPAA | Iceberg | Infrastructure as Code | Kafka | Kubernetes | Metadata catalog | Object storage | Observability | Presto | PubSub | Quality monitoring | Real Time | Real-time Streaming | Redshift | S3 | SLAs | SOC 2 | Schema versioning | Security | Spark | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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